Load packages
Scale and reverse coding
[1] "code" "label" "codeWVS" "homiciderate" "gdp" "infantmortality"
[7] "lifeexpectancy" "gini" "femalemale_primedu"
Data of Wave 5
#rename the variables
[1] "wave" "V1A" "V1B" "country_code" "V2A" "V3" "V4"
[8] "V4_CO" "V5" "V5_CO" "V6" "V6_CO" "V7" "V7_CO"
[15] "V8" "V8_CO" "V9" "V9_CO" "V10" "V11" "V12"
[22] "V13" "V14" "V15" "V16" "V17" "V18" "V19"
[29] "V20" "V21" "V22" "V23" "V24" "V25" "V26"
[36] "V27" "V28" "V29" "V30" "V31" "V32" "V33"
[43] "V34" "V35" "V36" "V37" "V38" "V39" "V40"
[50] "V41" "V42" "V43" "V43_01" "V43_02" "V43_03" "V43_04"
[57] "V43_05" "V43_06" "V43_07" "V43_08" "V43_09" "V43_10" "V43_11"
[64] "V43_12" "V43_13" "V43_14" "V43_15" "V43_16" "V43_17" "V43_18"
[71] "V43_19" "V43_20" "V43_21" "V43_22" "V43_23" "V43_24" "V43_25"
[78] "V43_26" "V43_27" "V43_28" "V43_29" "V43_30" "V44" "V45"
[85] "V46" "V47" "V48" "V49" "V50" "V51" "V52"
[92] "V53" "V54" "married" "children" "V57" "V58" "V59"
[99] "V60" "V61" "V62" "V63" "V64" "V65" "V66"
[106] "V67" "V68" "V69" "V69_HK" "V70" "V70_HK" "V71"
[113] "V72" "V73" "V73_HK" "V74" "V74_HK" "V75" "V76"
[120] "V77" "V78" "V79" "V80" "V81" "V82" "V83"
[127] "V84" "V85" "risktaking" "V87" "V88" "V89" "V90"
[134] "V91" "V92" "V93" "V94" "V95" "V96" "V97"
[141] "V98" "V99" "V100" "V101" "V102" "V103" "V104"
[148] "V105" "V106" "V107" "V108" "V109" "V110" "V111"
[155] "V112" "V113" "V114" "V115" "V116" "V117" "V118"
[162] "V119" "V120" "V121" "V122" "V123" "V124" "V125"
[169] "V126" "V127" "V128" "V129" "V130" "V130_CA_1" "V130_IQ_1"
[176] "V130_IQ_2" "V130_IQ_3" "V130_IQ_4" "V130_NZ_1" "V130_NZ_2" "V131" "V132"
[183] "V133" "V134" "V135" "V136" "V137" "V138" "V139"
[190] "V140" "V141" "V142" "V143" "V144" "V145" "V146_00"
[197] "V146_01" "V146_02" "V146_03" "V146_04" "V146_05" "V146_06" "V146_07"
[204] "V146_08" "V146_09" "V146_10" "V146_11" "V146_12" "V146_13" "V146_14"
[211] "V146_15" "V146_16" "V146_17" "V146_18" "V146_19" "V146_20" "V146_21"
[218] "V146_22" "V147" "V148" "V149" "V150" "V151" "V151_IQ_A"
[225] "V151_IQ_B" "V152" "V153" "V154" "V155" "V156" "V157"
[232] "V158" "V159" "V160" "V161" "V162" "V163" "V164"
[239] "V165" "V166" "V167" "V168" "V169" "V170" "V171"
[246] "V172" "V173" "V174" "V175" "V176" "V177" "V178"
[253] "V179" "V180" "V181" "V182" "V183" "V184" "V185"
[260] "V186" "V187" "V188" "V189" "V190" "V191" "V192"
[267] "V193" "V194" "V195" "V196" "V197" "V198" "V199"
[274] "V200" "V201" "V202" "V203" "V204" "V205" "V206"
[281] "V207" "V208" "V209" "V210" "V211" "V212" "V213A"
[288] "V213B" "V213C" "V213D" "V213E" "V213F" "V213G" "V213H"
[295] "V213K" "V213L" "V213M" "V213N" "V214" "V215" "V216"
[302] "V217" "V218" "V219" "V220" "V221" "V222" "V223"
[309] "V224" "V225" "V226" "V227" "V228" "V229" "V230"
[316] "V231" "V232" "V233" "V233A" "V234" "gender" "V236"
[323] "age" "education" "V238CS" "V239" "V240" "employed" "V242"
[330] "V242A_CO" "V243" "V244" "V245" "V246" "V247" "V248"
[337] "V249" "V250" "V251" "V252" "V252B" "V253" "V253CS"
[344] "V254" "V255" "V255CS" "V256" "V257" "V257B" "V257C"
[351] "V258" "V259" "V259A" "V260" "V261" "V262" "V263"
[358] "V264" "V265" "S024" "S025" "Y001" "Y002" "Y003"
[365] "SACSECVAL" "SECVALWGT" "RESEMAVAL" "WEIGHTB" "I_AUTHORITY" "I_NATIONALISM" "I_DEVOUT"
[372] "DEFIANCE" "WEIGHT1A" "I_RELIGIMP" "I_RELIGBEL" "I_RELIGPRAC" "DISBELIEF" "WEIGHT2A"
[379] "I_NORM1" "I_NORM2" "I_NORM3" "RELATIVISM" "WEIGHT3A" "I_TRUSTARMY" "I_TRUSTPOLICE"
[386] "I_TRUSTCOURTS" "SCEPTICISM" "WEIGHT4A" "I_INDEP" "I_IMAGIN" "I_NONOBED" "AUTONOMY"
[393] "WEIGHT1B" "I_WOMJOB" "I_WOMPOL" "I_WOMEDU" "EQUALITY" "WEIGHT2B" "I_HOMOLIB"
[400] "I_ABORTLIB" "I_DIVORLIB" "CHOICE" "WEIGHT3B" "I_VOICE1" "I_VOICE2" "I_VOI2_00"
[407] "VOICE" "WEIGHT4B" "S001" "S007" "S018" "S019" "S021"
[414] "COW"
Read countrynames data from the CSV file (to decode the dataset
5)
Andorra Argentina Australia Brazil Bulgaria
1003 1002 1421 1500 1001
Burkina Faso Canada Chile China Colombia
1534 2164 1000 1991 3025
Cyprus (G) Egypt Ethiopia Finland France
1050 3051 1500 1014 1001
Georgia Germany Ghana Great Britain Guatemala
1500 2064 1534 1041 1000
Hong Kong Hungary India Indonesia Iran
1252 1007 2001 2015 2667
Iraq Italy Japan Jordan Malaysia
2701 1012 1096 1200 1201
Mali Mexico Moldova Morocco Netherlands
1534 1560 1046 1200 1050
New Zealand Norway Peru Poland Romania
954 1025 1500 1000 1776
Russia Rwanda Serbia and Montenegro Slovenia South Africa
2033 1507 1220 1037 2988
South Korea Spain Sweden Switzerland Taiwan
1200 1200 1003 1241 1227
Thailand Trinidad and Tobago Turkey Ukraine United States
1534 1002 1346 1000 1249
Uruguay Viet Nam Zambia
1000 1495 1500
#Read Dataset (Wave 6)
#rename the variables
Add the countrynames
Algeria Argentina Armenia Australia Azerbaijan Belarus
1200 1030 1100 1477 1002 1535
Brazil Chile China Colombia Cyprus (G) Ecuador
1486 1000 2300 1512 1000 1202
Egypt Estonia Georgia Germany Ghana Haiti
1523 1533 1202 2046 1552 1996
Hong Kong India Iraq Japan Jordan Kazakhstan
1000 4078 1200 2443 1200 1500
Kuwait Kyrgyzstan Lebanon Libya Malaysia Mexico
1303 1500 1200 2131 1300 2000
Morocco Netherlands New Zealand Nigeria Pakistan Palestine
1200 1902 841 1759 1200 1000
Peru Philippines Poland Qatar Romania Russia
1210 1200 966 1060 1503 2500
Rwanda Singapore Slovenia South Africa South Korea Spain
1527 1972 1069 3531 1200 1189
Sweden Taiwan Thailand Trinidad and Tobago Tunisia Turkey
1206 1238 1200 999 1205 1605
Ukraine United States Uruguay Uzbekistan Yemen Zimbabwe
1500 2232 1000 1500 1000 1500
Bind data
[1] 38 24 48 28 54 44 70 60 27 35 73 33 46 41 59 26 45 21 22 31 20 56 29 30 61 47 40 57 67 43 25
[32] 62 23 64 42 19 52 51 39 36 37 49 34 71 32 69 50 63 65 55 72 18 58 68 75 53 78 76 88 66 84 79
[63] 77 74 80 82 83 85 86 90 81 87 -2 89 94 95 17 16 91 92 -1 93 15 -5 97 98 NA 99 102
[1] NA NA
Remove missing data
Transfrom risk item such that high values represent more risk
taking
Dichotom variables
[1] "gender" "age" "country_code" "wave" "risktaking" "children"
[7] "married" "employed" "education" "country" "T_score_risktaking" "Z_score_risktaking"
[13] "z_score_age"
[1] "label" "code" "hardship_index"
Add hardship to WVS_mixed_model
Mixed Models
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: Z_score_risktaking ~ 1 + (1 | country)
Data: WVS_mixed_model
REML criterion at convergence: 409702.8
Scaled residuals:
Min 1Q Median 3Q Max
-2.31854 -0.82565 -0.07222 0.76171 2.53255
Random effects:
Groups Name Variance Std.Dev.
country (Intercept) 0.08536 0.2922
Residual 0.90271 0.9501
Number of obs: 149626, groups: country, 77
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.01170 0.03341 76.10694 0.35 0.727
age, sex
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: risktaking ~ 1 + scale(age) + factor(gender) + (1 + scale(age) + factor(gender) | country)
Data: WVS_data
Control: lmerControl(optimizer = "bobyqa")
REML criterion at convergence: 539930.7
Scaled residuals:
Min 1Q Median 3Q Max
-2.4750 -0.7820 -0.0772 0.7523 3.2237
Random effects:
Groups Name Variance Std.Dev. Corr
country (Intercept) 0.16689 0.4085
scale(age) 0.01956 0.1399 0.31
factor(gender)1 0.02207 0.1486 0.12 0.25
Residual 2.15081 1.4666
Number of obs: 149626, groups: country, 77
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.42058 0.04697 76.22127 72.83 <2e-16 ***
scale(age) -0.32274 0.01659 74.09811 -19.46 <2e-16 ***
factor(gender)1 -0.36831 0.01887 73.38849 -19.52 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) scl(g)
scale(age) 0.296
fctr(gndr)1 0.067 0.222
#model 2
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: risktaking ~ 1 + scale(age) + factor(gender) + factor(children) +
factor(married) + factor(employed) + factor(education) +
(1 + scale(age) + factor(gender) + factor(children) + factor(married) +
factor(employed) + factor(education) | country)
Data: WVS_data
Control: lmerControl(optCtrl = list(maxfun = 30000), optimizer = "bobyqa")
REML criterion at convergence: 538463.9
Scaled residuals:
Min 1Q Median 3Q Max
-2.56649 -0.78106 -0.08451 0.74253 3.15001
Random effects:
Groups Name Variance Std.Dev. Corr
country (Intercept) 0.139167 0.37305
scale(age) 0.013141 0.11464 0.23
factor(gender)1 0.023396 0.15296 0.00 0.25
factor(children)1 0.021111 0.14529 0.09 0.17 0.08
factor(married)1 0.010402 0.10199 0.18 0.45 0.54 0.25
factor(employed)1 0.007348 0.08572 0.01 0.06 0.03 -0.29 -0.23
factor(education)1 0.015082 0.12281 -0.17 0.07 0.10 -0.15 0.08 0.19
Residual 2.125987 1.45808
Number of obs: 149626, groups: country, 77
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.52589 0.04497 77.43914 78.411 < 2e-16 ***
scale(age) -0.23515 0.01418 72.29489 -16.584 < 2e-16 ***
factor(gender)1 -0.34507 0.01948 73.75931 -17.717 < 2e-16 ***
factor(children)1 -0.20808 0.02069 72.08925 -10.056 2.30e-15 ***
factor(married)1 -0.13608 0.01562 62.63906 -8.712 2.14e-12 ***
factor(employed)1 0.01736 0.01331 68.34140 1.304 0.197
factor(education)1 0.12489 0.01869 51.42871 6.683 1.66e-08 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) scl(g) fctr(g)1 fctr(c)1 fctr(mr)1 fctr(mp)1
scale(age) 0.202
fctr(gndr)1 -0.048 0.223
fctr(chld)1 0.001 0.029 0.015
fctr(mrrd)1 0.104 0.308 0.386 -0.049
fctr(mply)1 -0.055 0.083 0.088 -0.208 -0.154
fctr(dctn)1 -0.263 0.106 0.074 -0.081 0.036 0.065
Model3
Error in model.frame.default(data = WVS_data, drop.unused.levels = TRUE, :
invalid type (list) for variable 'hardship'
ANOVA
---
title: "R Notebook"
output: html_notebook
---


# Load packages
```{r}
library(data.table)
library(tidyr)
library(maps)
library(haven)
library(ggplot2)
library(dplyr)
library(readxl)
library(lmerTest)
library(lme4)
```

# Load Hardship-list
```{r}
hardship_complete <- read_excel("/Users/laurabazzigher/Documents/GitHub/risk_wvs/data/dataset/Hardship/Hardship_complete_2024.xlsx")
hardship_complete
```

# Scale and reverse coding
```{r}
# Überprüfen der Spaltennamen
colnames(hardship_complete)

# Entfernen von Leerzeichen in den Spaltennamen
colnames(hardship_complete) <- make.names(colnames(hardship_complete))

# Versuche erneut, die Daten zu bearbeiten
hardship_complete$homiciderate <- log(hardship_complete$homiciderate)
hardship_complete$gdp <- log(hardship_complete$gdp)
hardship_complete$infantmortality <- log(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy <- log(hardship_complete$lifeexpectancy)
hardship_complete$gini <- log(hardship_complete$gini)

# Reverse Codierung
hardship_complete$homiciderate <- scale(hardship_complete$homiciderate)
hardship_complete$gdp <- scale(-hardship_complete$gdp)
hardship_complete$infantmortality <- scale(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy <- scale(-hardship_complete$lifeexpectancy)
hardship_complete$gini <- scale(hardship_complete$gini)

# Neuberechnung des Hardship-Index
hardship_complete$hardship_index <- (hardship_complete$homiciderate + hardship_complete$gdp +
                                      hardship_complete$gini + hardship_complete$lifeexpectancy +
                                      hardship_complete$infantmortality + hardship_complete$femalemale_primedu) / 6

hardship_complete
```

# Data of Wave 5 
```{r}
WV5_data <- readRDS("/Users/laurabazzigher/Documents/GitHub/risk_wvs/data/dataset/WV6_dataset_wave_5_6/F00007944-WV5_Data_R_v20180912.rds")

# Convert WV5_data-object in data.frame 
WV5_data_df <- as.data.frame(WV5_data)

# show first five columns
WV5_data_df
```

#rename the variables
```{r}
WV5_data <- WV5_data_df %>%
  rename(gender = V235, age = V237, country_code = V2, wave = V1, risktaking = V86, children = V56, married = V55, employed = V241, education = V238)
WV5_data

colnames(WV5_data)

#select only the variables of interest
WV5_data <- WV5_data %>%
  dplyr::select(gender, age, country_code, wave, risktaking, children, married, employed, education)
WV5_data
```

# Read countrynames data from the CSV file (to decode the dataset 5)
```{r}
countrynames <- read.csv("/Users/laurabazzigher/Documents/GitHub/risk_wvs/data/dataset/WV6_dataset_wave_5_6/countrynames.txt", header = FALSE, as.is = TRUE)
colnames(countrynames) <- c("code", "name")

# Assuming WV5_data has a column named country_code
WV5_data$country <- countrynames$name[match(WV5_data$country_code, countrynames$code)]

# Check the frequency of each country in the new column
table(WV5_data$country)

# Display the updated WV5_data
print(WV5_data)
```

#Read Dataset (Wave 6)
```{r}
WV6_data <- load("/Users/laurabazzigher/Documents/GitHub/risk_wvs/data/dataset/WV6_dataset_wave_5_6/WV6_Data_R_v20201117.rdata") 
WV6_data <- WV6_Data_R_v20201117 
print(WV6_data)
```


#rename the variables
```{r}
WV6_data <- WV6_data %>%
  rename(wave = V1, gender = V240, age = V242,country_code = V2, risktaking = V76, children = V58, married = V57, employed = V229, education = V248)

#select only the variables of interest
WV6_data <- WV6_data %>%
  dplyr::select(wave, gender, age, country_code,risktaking, children, married, employed, education)
WV6_data
```

# Add the countrynames
```{r}
countrynames = read.csv("/Users/laurabazzigher/Documents/GitHub/risk_wvs/data/dataset/WV6_dataset_wave_5_6/countrynames.txt", header=FALSE,as.is=TRUE)
colnames(countrynames) = c("code", "name")
WV6_data$country = countrynames$name [match(WV6_data$country_code, countrynames$code)]
table(WV6_data$country)
WV6_data
```

# Bind data
```{r}
WV5_data
WV6_data
WVS_data = rbind(WV5_data, WV6_data)
WVS_data

unique(WVS_data$age)
range(WVS_data$age)
```

# Remove missing data
```{r}
WVS_data = subset(WVS_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)

WVS_data <- na.omit(WVS_data)

# Use the mutate function to change the country name
WVS_data <- WVS_data %>%
  mutate(country = ifelse(country == "Great Britain", "United Kingdom", country))
```

# Transfrom risk item such that high values represent more risk taking
```{r}
WVS_data$risktaking = 6 - WVS_data$risktaking + 1

# Transform risk variable into T-score (mean = 50, sd = 10)
WVS_data$T_score_risktaking = 10*scale(WVS_data$risktaking, center=TRUE,scale=TRUE)+50

WVS_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
WVS_data$Z_score_risktaking = (WVS_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(WVS_data)

WVS_data <- WVS_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
WVS_data
```
  
# Dichotom variables
```{r}
WVS_data$gender = ifelse(WVS_data$gender == 1, 0, 1) # sex: male vs. female
WVS_data$children = ifelse(WVS_data$children == 0, 0, 1) # children: no vs. yes
WVS_data$married = ifelse(WVS_data$married == 1, 1, 0) # married: yes vs. no
WVS_data$employed = ifelse(WVS_data$employed < 4, 1, 0) # employed: yes vs. no
WVS_data$education = ifelse(WVS_data$education < 4, 0, 1) # education: no primary vs. primary+ 


hardship <- hardship_complete %>%
  dplyr::select(label, code, hardship_index)
hardship
```
```{r}
colnames(WVS_data)
colnames(hardship)
```

# Add hardship to WVS_mixed_model
```{r}
WVS_mixed_model <- left_join(WVS_data, hardship, by = c("country" = "code"))
WVS_mixed_model
head(WVS_mixed_model)
```

# Mixed Models
```{r}
# intercept only model
model0 = lmer(Z_score_risktaking ~ 1 + (1|country),data = WVS_mixed_model)
summary_model0=summary(model0)
summary_model0
```
```{r}
head(WVS_mixed_model)
```


# age, sex 
```{r}
model1 <- lmer(risktaking ~ 1 + scale(age) + factor(gender) + (1 + scale(age) + factor(gender) | country), 
               data = WVS_data, 
                      control = lmerControl(optimizer = "bobyqa"))
summary_model1=summary(model1)
print(summary_model1) # Koeffizientenübersicht des Modells anzeigen
```

#model 2
```{r}
model2 = lmer(risktaking ~ 1+scale(age)+factor(gender) + factor(children) + factor(married) + factor(employed) + factor(education)+ (1+scale(age)+factor(gender)+ factor(children) + factor(married) + factor(employed) + factor(education)|country),data = WVS_data,control=lmerControl(optCtrl=list(maxfun=30000),optimizer="bobyqa"))
summary_model2=summary(model2)

print(summary_model2) 
```

# Model3
```{r}
model3 <- lmer(risktaking ~ 1+scale(age)*hardship+factor(gender)*hardship + factor(children) + factor(married) + factor(employed) + factor(education)+ (1+scale(age)+factor(gender)+ factor(children) + factor(married) + factor(employed) + factor(education)|country),data = WVS_data,control=lmerControl(optCtrl=list(maxfun=30000),optimizer="bobyqa"),REML = FALSE)
summary_model3=summary(model3)

print(summary_model3)
```

# ANOVA
```{r}
anova(model0,model1)
anova(model1,model_2)
anova(model_2,model_3) 
```

```{r}
coefsallmodels=rbind(summary_model1$coefficients,
summary_model_2$coefficients,
summary_model_3$coefficients[c(1:2,4:8,3,9:10),])

write.csv(coefsallmodels,"coefsallmodels.csv")
```


```{r}
# Read the CSV file into a data frame
gbd_mentalhealth <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/GBD_mentalhealth.xlsx")

gbd_mentalhealth

#select only the variables of interest
gbd_mentalhealth <- gbd_mentalhealth %>%
  dplyr::select(country, gender, age, cause, val, Measure)
gbd_mentalhealth


library(dplyr)

# Group data by country and age group, and calculate summary statistics
summary_by_country_age <- gbd_mentalhealth %>%
  group_by(country, age) %>%
  summarise(
    mean_DALYs = mean(val))  # Calculate mean of DALYs

library(dplyr)

# Assuming 'summary_by_country_age' contains your summarized dataset
mean_by_country <- summary_by_country_age %>%
  group_by(country) %>%
  summarise(mean_DALYs = mean(mean_DALYs))

# View the resulting mean by country
print(mean_by_country)

#log transform
mean_by_country$mean_DALYs=log(mean_by_country$mean_DALYs)
 
mean_by_country 

#Reverse codierung 
mean_by_country$mean_DALYs=scale(mean_by_country$mean_DALYs)

mean_by_country

#rename mean_DALYS
mental_health_index <- mean_by_country %>%
  rename('mental_health' = mean_DALYs)
mental_health_index

```
```{r}
library(dplyr)

#######Anxiety disorders#########
#Filter data for a specific mental disorder (e.g., Anxiety Disorders)
anxiety_disorders <- gbd_mentalhealth %>%
  filter(cause == "Anxiety disorders")  # Change "Anxiety Disorders" to the desired disorder

# Calculate the mean of 'val' (Disability-Adjusted Life Years) across locations and ages
mean_DALYs <- mean(anxiety_disorders$val)

# Optionally, if you want to calculate mean by country:
anxiety_disorders <- anxiety_disorders %>%
  group_by(country) %>%
  summarise(mean_Anxiety_disorders = mean(val))

anxiety_disorders

#log transform
anxiety_disorders$mean_Anxiety_disorders=log(anxiety_disorders$mean_Anxiety_disorders)
 
anxiety_disorders

#Reverse codierung 
anxiety_disorders$mean_Anxiety_disorders=scale(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
mental_health_index

```
```{r}
gbd_mentalhealth

# Assuming gbd_mentalhealth is your data frame containing the 'cause' column

# Get unique values of 'cause' column
unique_causes <- unique(gbd_mentalhealth$cause)

# Create a data frame with unique causes
cause_table <- data.frame(Cause = unique_causes)

# Print the cause table
print(cause_table)


```
```{r}
#######Bulimia nervosa########
library(dplyr)

# Filter the data for 'Bulimia Nervosa'
bulimia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Bulimia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bulimia_nervosa$val)

# Optionally, calculate mean by country
bulimia_nervosa <- bulimia_nervosa %>%
  group_by(country) %>%
  summarise(mean_bulimia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
bulimia_nervosa$mean_bulimia_nervosa <- log(bulimia_nervosa$mean_bulimia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
bulimia_nervosa$mean_bulimia_nervosa <- scale(bulimia_nervosa$mean_bulimia_nervosa)

# Print the resulting data frame
print(bulimia_nervosa)
print(anxiety_disorders)

gbd_mentalhealth

```
```{r}
#####Attention-deficit/hyperactivity disorder
library(dplyr)


ADHD <- gbd_mentalhealth %>%
  filter(cause == "Attention-deficit/hyperactivity disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(ADHD$val)

# Optionally, calculate mean by country
ADHD <- ADHD %>%
  group_by(country) %>%
  summarise(mean_ADHD = mean(val))

# Log transform the mean_bulimia_nervosa column
ADHD$mean_ADHD <- log(ADHD$mean_ADHD)

# Scale the mean_bulimia_nervosa column (if needed)
ADHD$mean_ADHD <- scale(ADHD$mean_ADHD)

# Print the resulting data frame
print(ADHD)

```
```{r}
#########Idiopathic development intellectual ability 
library(dplyr)


Idiopathic_developmental_intellectual_disability <- gbd_mentalhealth %>%
  filter(cause == "Idiopathic developmental intellectual disability")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(Idiopathic_developmental_intellectual_disability$val)

# Optionally, calculate mean by country
Idiopathic_developmental_intellectual_disability <- Idiopathic_developmental_intellectual_disability %>%
  group_by(country) %>%
  summarise(mean_Idiopathic_developmental_intellectual_disability = mean(val))

# Log transform the mean_bulimia_nervosa column
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- log(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Scale the mean_bulimia_nervosa column (if needed)
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- scale(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Print the resulting data frame
print(Idiopathic_developmental_intellectual_disability)
```
```{r}
######Anorexia Nervosa

anorexia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Anorexia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(anorexia_nervosa$val)

# Optionally, calculate mean by country
anorexia_nervosa <- anorexia_nervosa %>%
  group_by(country) %>%
  summarise(mean_anorexia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
anorexia_nervosa$mean_anorexia_nervosa <- log(anorexia_nervosa$mean_anorexia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
anorexia_nervosa$mean_anorexia_nervosa <- scale(anorexia_nervosa$mean_anorexia_nervosa)

# Print the resulting data frame
print(anorexia_nervosa)
```
```{r}
#####Depressive disorders#######

depressive_disorders <- gbd_mentalhealth %>%
  filter(cause == "Depressive disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(depressive_disorders$val)

# Optionally, calculate mean by country
depressive_disorders <- depressive_disorders %>%
  group_by(country) %>%
  summarise(mean_depressive_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
depressive_disorders$mean_depressive_disorders <- log(depressive_disorders$mean_depressive_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
depressive_disorders$mean_depressive_disorders <- scale(depressive_disorders$mean_depressive_disorders)

# Print the resulting data frame
print(depressive_disorders)
```

```{r}
#######Autismus spectrum disorders######

autismus_spectrum_disorders <- gbd_mentalhealth %>%
  filter(cause == "Autism spectrum disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(autismus_spectrum_disorders$val)

# Optionally, calculate mean by country
autismus_spectrum_disorders <- autismus_spectrum_disorders %>%
  group_by(country) %>%
  summarise(mean_autismus_spectrum_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- log(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- scale(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Print the resulting data frame
print(autismus_spectrum_disorders)
```

```{r}
######Schizophrenia#######
schizophrenia <- gbd_mentalhealth %>%
  filter(cause == "Schizophrenia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(schizophrenia$val)

# Optionally, calculate mean by country
schizophrenia <- schizophrenia %>%
  group_by(country) %>%
  summarise(mean_schizophrenia = mean(val))

# Log transform the mean_bulimia_nervosa column
schizophrenia$mean_schizophrenia <- log(schizophrenia$mean_schizophrenia)

# Scale the mean_bulimia_nervosa column (if needed)
schizophrenia$mean_schizophrenia <- scale(schizophrenia$mean_schizophrenia)

# Print the resulting data frame
print(schizophrenia)

```

```{r}
#######Conduct disorders#########
conduct_disorders <- gbd_mentalhealth %>%
  filter(cause == "Conduct disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(conduct_disorders$val)

# Optionally, calculate mean by country
conduct_disorders <- conduct_disorders %>%
  group_by(country) %>%
  summarise(mean_conduct_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
conduct_disorders$mean_conduct_disorders <- log(conduct_disorders$mean_conduct_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
conduct_disorders$mean_conduct_disorders <- scale(conduct_disorders$mean_conduct_disorders)

# Print the resulting data frame
print(conduct_disorders)


```

```{r}
########Eating disorders#########
eating_disorders <- gbd_mentalhealth %>%
  filter(cause == "Eating disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(eating_disorders$val)

# Optionally, calculate mean by country
eating_disorders <- eating_disorders %>%
  group_by(country) %>%
  summarise(mean_eating_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
eating_disorders$mean_eating_disorders <- log(eating_disorders$mean_eating_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
eating_disorders$mean_eating_disorders <- scale(eating_disorders$mean_eating_disorders)

# Print the resulting data frame
print(eating_disorders)

```
```{r}
########Bipolar disorder#########
bipolar_disorder <- gbd_mentalhealth %>%
  filter(cause == "Bipolar disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bipolar_disorder$val)

# Optionally, calculate mean by country
bipolar_disorder <- bipolar_disorder %>%
  group_by(country) %>%
  summarise(mean_bipolar_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
bipolar_disorder$mean_bipolar_disorder <- log(bipolar_disorder$mean_bipolar_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
bipolar_disorder$mean_bipolar_disorder <- scale(bipolar_disorder$mean_bipolar_disorder)

# Print the resulting data frame
print(bipolar_disorder)

```
```{r}
print(cause_table)
```
```{r}
########Substance use disorders########

substance_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Substance use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(substance_use_disorders$val)

# Optionally, calculate mean by country
substance_use_disorders <- substance_use_disorders %>%
  group_by(country) %>%
  summarise(mean_substance_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
substance_use_disorders$mean_substance_use_disorders <- log(substance_use_disorders$mean_substance_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
substance_use_disorders$mean_substance_use_disorders <- scale(substance_use_disorders$mean_substance_use_disorders)

# Print the resulting data frame
print(substance_use_disorders)

```
```{r}
####Drug use disorders

drug_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Drug use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(drug_use_disorders$val)

# Optionally, calculate mean by country
drug_use_disorders <- drug_use_disorders %>%
  group_by(country) %>%
  summarise(mean_drug_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
drug_use_disorders$mean_drug_use_disorders <- log(drug_use_disorders$mean_drug_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
drug_use_disorders$mean_drug_use_disorders <- scale(drug_use_disorders$mean_drug_use_disorders)

# Print the resulting data frame
print(drug_use_disorders)


```
```{r}
##########Alcohol use disorders
alcohol_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Alcohol use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(alcohol_use_disorders$val)

# Optionally, calculate mean by country
alcohol_use_disorders <- alcohol_use_disorders %>%
  group_by(country) %>%
  summarise(mean_alcohol_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
alcohol_use_disorders$mean_alcohol_use_disorders <- log(alcohol_use_disorders$mean_alcohol_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
alcohol_use_disorders$mean_alcohol_use_disorders <- scale(alcohol_use_disorders$mean_alcohol_use_disorders)

# Print the resulting data frame
print(alcohol_use_disorders)

```
```{r}
#######Major depressive disorders
major_depressive_disorder <- gbd_mentalhealth %>%
  filter(cause == "Major depressive disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(major_depressive_disorder$val)

# Optionally, calculate mean by country
major_depressive_disorder <- major_depressive_disorder %>%
  group_by(country) %>%
  summarise(mean_major_depressive_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
major_depressive_disorder$mean_major_depressive_disorder <- log(major_depressive_disorder$mean_major_depressive_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
major_depressive_disorder$mean_major_depressive_disorder <- scale(major_depressive_disorder$mean_major_depressive_disorder)

# Print the resulting data frame
print(major_depressive_disorder)

```
```{r}
#######Dysthymia########

dysthymia <- gbd_mentalhealth %>%
  filter(cause == "Dysthymia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(dysthymia$val)

# Optionally, calculate mean by country
dysthymia <- dysthymia %>%
  group_by(country) %>%
  summarise(mean_dysthymia = mean(val))

# Log transform the mean_bulimia_nervosa column
dysthymia$mean_dysthymia <- log(dysthymia$mean_dysthymia)

# Scale the mean_bulimia_nervosa column (if needed)
dysthymia$mean_dysthymia <- scale(dysthymia$mean_dysthymia)

# Print the resulting data frame
print(dysthymia)


```
```{r}
library(dplyr)

# Perform left joins for each data frame on 'country'
final_mental_health_index <- mental_health_index %>%
  left_join(bulimia_nervosa, by = "country") %>%
  left_join(ADHD, by = "country") %>%
  left_join(Idiopathic_developmental_intellectual_disability, by = "country") %>%
  left_join(anorexia_nervosa, by = "country") %>%
  left_join(depressive_disorders, by = "country") %>%
  left_join(autismus_spectrum_disorders, by = "country") %>%
  left_join(conduct_disorders, by = "country") %>%
  left_join(schizophrenia, by = "country") %>%
  left_join(eating_disorders, by = "country") %>%
  left_join(bipolar_disorder, by = "country") %>%
  left_join(drug_use_disorders, by = "country") %>%
  left_join(alcohol_use_disorders, by = "country") %>%
  left_join(substance_use_disorders, by = "country") %>%
  left_join(major_depressive_disorder, by = "country") %>%
  left_join(dysthymia, by = "country")

# Display the resulting data frame
print(final_mental_health_index)

# Show the first few rows of the resulting data frame
head(final_mental_health_index)

```
```{r}
indicators <- left_join(final_mental_health_index, hardship, by = "country")
indicators
head(indicators)

new_data <- left_join (WVS_data, indicators, by = "country")
new_data


# Transfrom risk item such that high values represent more risk taking
new_data$risktaking = 6 - new_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
new_data$T_score_risktaking = 10*scale(new_data$risktaking, center=TRUE,scale=TRUE)+50

new_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
new_data$Z_score_risktaking = (new_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(new_data)

new_data <- new_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
new_data
```
```{r}
library(lme4)

library(lme4)

model <- lmer(T_score_risktaking ~ scale(z_score_age) * mental_health +
               gender * mental_health +
               factor(married) + factor(children) +
               factor(education) + factor(employed) +
               (1 + scale(z_score_age) + factor(married) + factor(children) + 
                factor(education) + factor(employed) | country),
             data = new_data)


summary(model)

# Assuming 'model' is a linear mixed-effects model (lmer), and you want to save coefficients to a CSV file

# Extract coefficients from the model summary
coefficients_df <- data.frame(summary(model)$coefficients)

# Write coefficients to a CSV file
write.csv(coefficients_df, "model_coefficients.csv", row.names = TRUE)

```
